Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome-wide identification of putative cis-regulatory elements through epigenetic profiling in zebrafish

ABSTRACT: In this study, we have applied ChIP-Seq to identify putative regulatory elements throughout the zebrafish genome. For this purpose we identified sequences within the zebrafish genome that associate with H3K4me1 and H3K4me3, which are epigenetic modifications known to be associated with active cis-regulatory elements in other species. Determination of H3K4me1- and H3K4me3-binding sites in the zebrafish genome.

ORGANISM(S): Danio rerio

SUBMITTER: Lihua Zhu

PROVIDER: E-GEOD-20600 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of cis regulatory features in the embryonic zebrafish genome through large-scale profiling of H3K4me1 and H3K4me3 binding sites.

Aday Aaron W AW Zhu Lihua Julie LJ Lakshmanan Abirami A Wang Jie J Lawson Nathan D ND

Developmental biology 20110322 2

An organism's genome sequence serves as a blueprint for the proteins and regulatory RNAs essential for cellular function. The genome also harbors cis-acting non-coding sequences that control gene expression and are essential to coordinate regulatory programs during embryonic development. However, the genome sequence is largely identical between cell types within a multi-cellular organism indicating that factors such as DNA accessibility and chromatin structure play a crucial role in governing ce ...[more]

PMID: 21435340

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Project description:Over the past decade, genome-wide assays have underscored the broad sweep of circadian gene expression. A substantial fraction of the transcriptome undergoes oscillations in many organisms and tissues, which governs the many biochemical, physiological and behavioral functions under circadian control. Based predominantly on the transcription feedback loops important for core circadian timekeeping, it is commonly assumed that this widespread mRNA cycling reflects circadian transcriptional cycling. To address this issue, we directly measured dynamic changes in mouse liver transcription using Nascent-Seq. Many genes are rhythmically transcribed over the 24h day, which include precursors of several non-coding RNAs as well as the expected set of core clock genes. Surprisingly however, nascent RNA rhythms overlap poorly with mRNA abundance rhythms assayed by RNA-seq. This is because most mouse liver genes with rhythmic mRNA expression manifest poor transcriptional rhythms, indicating a prominent role of post-transcriptional regulation in setting mRNA cycling amplitude. To gain further insight into circadian transcriptional regulation, we also characterized the rhythmic transcription of liver genes targeted by the transcription factors CLOCK and BMAL1; they directly target other core clock genes and sit at the top of the molecular circadian clock hierarchy in mammals. CLK:BMAL1 rhythmically bind at the same discrete phase of the circadian cycle to all target genes, which not surprisingly have a much higher percentage of rhythmic transcription than the genome as a whole. However, there is a surprisingly heterogeneous set of cycling transcription phases of direct target genes, which even include core clock genes. This indicates a disconnect between rhythmic DNA binding and the peak of transcription, which is likely due to other transcription factors that collaborate with CLK:BMAL1. In summary, the application of Nascent-Seq to a mammalian tissue provides surprising insights into the rhythmic control of gene expression and should have broad applications beyond the analysis of circadian rhythms. CLK and BMAL1 DNA binding profile in the mouse liver at ZT8, sequenced along an Input sample using GAII (ChIP-Seq) Supplementary file ChIPSeq_Mouse_Liver_Processed_data_Table1.txt represents annotated CLK and BMAL1 peaks.

Dataset Information

Genome-wide identification of putative cis-regulatory elements through epigenetic profiling in zebrafish

Publications

Identification of cis regulatory features in the embryonic zebrafish genome through large-scale profiling of H3K4me1 and H3K4me3 binding sites.

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